Computational Model Credibility

Computational Model Credibility is the degree of confidence that a computational model is sufficiently accurate and trustworthy for its intended use in simulation-based validation, based on rigorous evidence of its theoretical foundation, empirical support, and domain of applicability.

77

Publications

6K

Citations

255

Authors

143

Institutions

Publications per year

2017–2026

27

Authors

255

  1. AM
    Averill M. Law

    University of Arizona, United States

    8 publications · 754 citations

    8

    h-index

  2. TM
    Tina Morrison

    United States Food and Drug Administration, United States

    4 publications · 312 citations

    4

    h-index

  3. PP
    Pras Pathmanathan

    University of Oxford, United Kingdom

    4 publications · 181 citations

    4

    h-index

  4. FP
    Francesco Pappalardo

    University of Catania, Italy

    3 publications · 213 citations

    3

    h-index

  5. UB
    Unmeel B. Mehta

    Ames Research Center, United States

    3 publications · 133 citations

    3

    h-index

1–5 of 255

Venues

  1. AIAA Journal

    2 publications · 131 citations

    2

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. SIMULATION

    2 publications · 763 citations

    2

    h-index

  5. CPT Pharmacometrics & Systems Pharmacology

    PSP · 2 publications · 296 citations

    2

    h-index

1–5